Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, No.17 Yongwai Street, Donghu District, Nanchang, 330006, Jiangxi Province, China.
Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
BMC Infect Dis. 2021 Jul 1;21(1):631. doi: 10.1186/s12879-021-06354-7.
COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients.
Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients.
Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4 T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4 T cell, and CD8 T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). For severe patients, the counts of T cell, CD4 T cell, CD8 T cell gradually decreased with the increased delayed hospitalization (p = 0.001, 0.03, and < 0.001, respectively). The proportions of T cell, CD8 T cell gradually decreased with the increased delayed hospitalization (both p < 0.001), but the proportions of NK cell, B cell gradually increased with the increased delayed hospitalization (p = 0.007, and 0.002, respectively). For mild patients, only the NK cell count was gradually decreased with the increased delayed hospitalization (p = 0.012).
T lymphocyte and its subset negatively correlated with disease severity, CT manifestation and delayed hospitalization. The counts of lymphocyte subset were changed more profound than their proportions.
COVID-19 持续严重威胁着公众健康。本研究旨在探讨淋巴细胞亚群改变与 COVID-19 患者疾病严重程度、影像学表现和延迟住院的关系。
采集 106 例患者外周血，采用流式细胞术对淋巴细胞亚群进行分类。
多变量逻辑回归显示，胸闷、淋巴细胞计数和γ-谷氨酰转肽酶是 COVID-19 重症的独立预测因子。重症患者的 T 细胞、CD4+T 细胞和 B 细胞计数明显低于轻症患者（p=0.004、0.003 和 0.046）。只有 T 细胞计数随着 CT 病变浸润象限的增加而逐渐降低（p=0.043）。T 细胞、CD4+T 细胞和 CD8+T 细胞计数随着 CT 最大病变浸润面积的增加而逐渐降低（p=0.002、0.003 和 0.028）。对于重症患者，T 细胞、CD4+T 细胞、CD8+T 细胞计数随着延迟住院时间的增加而逐渐降低（p=0.001、0.03 和 <0.001）。T 细胞、CD8+T 细胞的比例随着延迟住院时间的增加而逐渐降低（均 p<0.001），而 NK 细胞、B 细胞的比例随着延迟住院时间的增加而逐渐升高（p=0.007 和 0.002）。对于轻症患者，只有 NK 细胞计数随着延迟住院时间的增加而逐渐降低（p=0.012）。
T 淋巴细胞及其亚群与疾病严重程度、CT 表现和延迟住院时间呈负相关。淋巴细胞亚群的计数变化比其比例变化更为明显。
